Check Point Software Technologies (CHKP) Other Accumulated Expenses (2010 - 2018)
Check Point Software Technologies' Other Accumulated Expenses came in at $46.53 million for Q4 2018, down 13.2% from $53.61 million a year earlier.
Check Point Software Technologies (CHKP) Other Accumulated Expenses (2010 - 2018) Analysis & Trends
Going back to Q4 2010, Check Point Software Technologies' Other Accumulated Expenses data covers 9 quarters.
- Other Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -0.4% (FY2013 to FY2018).
- Going back by year, Other Accumulated Expenses was $53.61 million in FY2017 (-3.5%), $55.53 million in FY2016 (-4.2%), $57.97 million in FY2015 (+15.0%) and $50.42 million in FY2014 (+6.4%).
- The Q4 2018 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Check Point Software Technologies | 15.47 Bn | -1.83 Bn | 571.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 46.53 Mn |
| Dec 31, 2017 | 53.61 Mn |
| Dec 31, 2016 | 55.53 Mn |
| Dec 31, 2015 | 57.97 Mn |
| Dec 31, 2014 | 50.42 Mn |
| Dec 31, 2013 | 47.38 Mn |
| Dec 31, 2012 | 37.85 Mn |
| Dec 31, 2011 | 30.61 Mn |
| Dec 31, 2010 | 24.13 Mn |
Check Point Software Technologies Other Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=CHKP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CHKP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();